A Study on the Multi-Laser Image Tracking Method using the Latest Approach Angle (최근접 각도를 이용한 복수 레이저 영상 추적 방법 연구)

Jin-Pyo Jo (조진표); Ho-Jeong Ko (고호정); KIM JEONG HO (김정호)

A Study on the Multi-Laser Image Tracking Method using the Latest Approach Angle

Journal of Internet of Things and Convergence
Abbr : JKIOTS
2020, 6(2), pp.37-43
Publisher : The Korea Internet of Things Society
Research Area : Engineering > Computer Science > Internet Information Processing
Received : May 2, 2020
Accepted : June 18, 2020
Published : June 30, 2020

Jin-Pyo Jo ¹, Ho-Jeong Ko ², KIM JEONG HO ¹

¹한밭대학교
²한국폴리텍대학교

Candidate

ABSTRACT

The paper proposed the method of calculating the latest approach angle that can reliably recognize multiple laser images even with the change in separation distance between screen and laser launch device. This method recognizes the angle of the laser pattern angle by using the distance of the laser pattern angle, and the angle extraction of the laser detects the laser image from the acquired image using the labeling algorithm, and performs the huff conversion to extract the angle of the straight line. The distance of the reference angle and angle of the laser image extracted using Euclidean distance among similarity scales is calculated, and the furnace is recognized using the calculated distance result value. Experiments with changing the separation distance to "200 cm to 400 cm" showed 100% recognition of individual strands at all separation distances. The experiment confirmed the reliability of the proposed method.

KEYWORDS

IoT, MVS, Simulated shooting system, screen shooting system, laser image processing

Citation status

* References for papers published after 2023 are currently being built.

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Journal of Internet of Things and Convergence 2023 KCI Impact Factor : 0.89